Looking for Pseudobulk Methods

I’m exploring new ways to generate pseudobulk data that better reflect biological reality. Most approaches I’ve found in the literature, or in commonly used packages, rely on simply summing or averaging single-cell expression data.

Any insights or recommendations would be greatly appreciated! :pray::sparkles:

Hey @victorsanchezarevalo,

Counting reads / fragments for cell populations rather than individual cells seems like a fairly reasonable approach.
Another option is metacells, e.g. see SEACells as one of the implementations.